gcloud: Wed Aug 17 09:22:03 UTC 2022

gcloud/ai/endpoints/create

@@ -3,8 +3,10 @@ NAME
 
 SYNOPSIS
     gcloud ai endpoints create --display-name=DISPLAY_NAME
-        [--description=DESCRIPTION] [--endpoint-id=ENDPOINT_ID]
-        [--labels=[KEY=VALUE,...]] [--network=NETWORK] [--region=REGION]
+        [--description=DESCRIPTION]
+        [--encryption-kms-key-name=ENCRYPTION_KMS_KEY_NAME]
+        [--endpoint-id=ENDPOINT_ID] [--labels=[KEY=VALUE,...]]
+        [--network=NETWORK] [--region=REGION]
         [--request-response-logging-rate=REQUEST_RESPONSE_LOGGING_RATE
           --request-response-logging-table=REQUEST_RESPONSE_LOGGING_TABLE]
         [GCLOUD_WIDE_FLAG ...]
@@ -23,6 +25,14 @@ OPTIONAL FLAGS
      --description=DESCRIPTION
         Description of the endpoint.
 
+     --encryption-kms-key-name=ENCRYPTION_KMS_KEY_NAME
+        The Cloud KMS resource identifier of the customer managed encryption
+        key used to protect a resource. Has the form:
+        projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key.
+
+        The key needs to be in the same region as where the compute resource is
+        created.
+
      --endpoint-id=ENDPOINT_ID
         User-specified ID of the endpoint.
 

gcloud/ai/endpoints/deploy-model

@@ -6,6 +6,7 @@ SYNOPSIS
     gcloud ai endpoints deploy-model (ENDPOINT : --region=REGION)
         --display-name=DISPLAY_NAME --model=MODEL
         [--accelerator=[count=COUNT],[type=TYPE]]
+        [--autoscaling-metric-specs=[METRIC-NAME=TARGET,...]]
         [--deployed-model-id=DEPLOYED_MODEL_ID] [--disable-container-logging]
         [--enable-access-logging] [--machine-type=MACHINE_TYPE]
         [--max-replica-count=MAX_REPLICA_COUNT]
@@ -73,6 +74,20 @@ OPTIONAL FLAGS
 
             For example: --accelerator=type=nvidia-tesla-k80,count=1
 
+     --autoscaling-metric-specs=[METRIC-NAME=TARGET,...]
+        Metric specifications that overrides a resource utilization metric's
+        target value. At most one entry is allowed per metric.
+
+         METRIC-NAME
+            Resource metric name. Choices are 'cpu-usage', 'gpu-duty-cycle'.
+
+         TARGET
+            Target resource utilization in percentage (1% - 100%) for the given
+            metric. If the value is set to 60, the target resource utilization
+            is 60%.
+
+            For example: --autoscaling-metric-specs=cpu-usage=70
+
      --deployed-model-id=DEPLOYED_MODEL_ID
         User-specified ID of the deployed-model.